Congress narrowly voted to fund President Donald Trump’s mass deportation agenda, giving the Department of Homeland Security $70 billion over the next three years.

The house voted 214 to 212 in favor of the reconciliation bill Tuesday, following the Senate’s 52-47 vote last Friday morning. The vote fell largely along party lines. Sen. Lisa Murkowski (R-AK) was the only Senate Republican to vote against it. Rep. Tim Walberg (R-MI), initially voted against the bill — meaning it would have failed — but changed his vote after huddling with House Majority Leader Steve Scalise (R-LA) and Appropriations Chair Tom Cole (R-OK), according to The Hill. No Democrats voted in favor of the funding bill, which was done through a budget reconciliation process to avoid a Democratic filibuster.

In a speech on the House floor ahead of the Tuesday vote, Rep. Mary Gay Scanlon (D-PA) criticized Republicans for using the budget reconciliation process to avoid negotiating with Democrats, and emphasized ICE’s lack of popularity with the American people.

“At its core, this Republican reconciliation budget bill is a statement about priorities, and the priorities represented in this budget bill could not be more out of step with the needs and values of the American people,” Scanlon said.

Scanlon noted that DHS has yet to spend $100 billion of the nearly $200 billion it received under Trump’s One Big Beautiful Bill Act. She added that Trump has not only expanded ICE’s reach by increasingly going after legal immigrants but also weaponized DHS against its critics. The bill, she said, will “supercharge” Trump’s abuses.

After the House markup last Friday, Rep. Rosa DeLauro (D-CT), ranking member of the House Appropriations Committee, noted that the bill not only lacks sufficient reforms but also cuts funding for cybersecurity and TSA, whose workers went weeks without pay during the DHS shutdown.

The funding bill comes at a time of deep unpopularity for ICE. One recent poll found that just 33 percent of voters approve of how the agency is doing its job.

And it comes amid yet another threat from border czar Tom Homan to flood New York City with ICE agents. In an interview with Fox News on Monday, Homan said he would send “more ICE agents than you’ve ever seen” to New York City if the state government passed a bill limiting cooperation with DHS.

“Providing a quarter trillion dollars to an administration promising that the public ‘ain’t seen shit yet’ when it comes to mass deportation is a historic mistake,” Todd Schulte, president of the immigration reform group FWD.us, said in a statement. “Supercharging the funding for these already out of control systems will come with terrible human consequences and continue to be met with increasing opposition from voters.”

Correction, June 9th: A previous version of this story said Rep. Tim Walberg voted against the funding bill. He initially voted against it but then changed his vote to support it.

Update, June 9th: This story has been updated to include comment from FWD.us president Todd Schulte.

MacOS 27 Golden Gate will usher in a bunch of changes to the Mac when it’s released later this year, with its biggest new features revolving around Siri AI. But for now, using the first developer beta, Siri AI is only offered through a waitlist. So what’s available to try is mostly about how the upcoming operating system looks and feels.

You’re not welcomed with any fanfare when you boot up the macOS 27 developer beta (that’ll probably come later), but there’s reason to celebrate. Jump to the appearance settings, and you find that Apple now has a Liquid Glass slider, allowing users to set the amount of UI transparency in macOS. On one end of the slider, it’s as seethrough as Liquid Glass gets, and on the other end the transparent accents are heavily frosted. Golden Gate starts you in the middle of the slider by default, for just a touch of frosting — perhaps a gentle admission that the original look went too far. You sadly can’t go fully opaque, but this frosted look does greatly reduce the distracting elements of Liquid Glass.

After spending just a short while with Golden Gate, I already prefer the minimum transparency look. I’d crank that slider in the full version and never turn back. For the strongest Liquid Glass haters out there, the Reduce Transparency option is still available in the Accessibility settings, but using it is like taking a hammer to all that glass — introducing lots of harsh gray and black backgrounds to the dock, Menu Bar, and Control Center.

The absolute wins for macOS 27’s design is the return of edge-to-edge sidebars with colorful icons and the increased corner radii of windows across the OS. The former is basically a backtrack to the way sidebars used to look (which looked better and easier to parse, with less wasted space). And the latter is just logical. How on Earth did Apple get so high on its own design supply that it allowed windowed apps to have mismatched corners?

I do have my nitpicks — the new battery icon taken from iOS is less legible (really, I hate it). Also, after Apple finally added the most basic window snapping feature in Sequoia, it hasn’t refined it one bit. Both Tahoe and now Golden Gate are leaving me wanting better and faster tiling controls like Windows 11, as well as the simple ability to rename virtual desktops. But so far, nothing.

Apple says Golden Gate is supposed to feel snappier, with faster search indexing. It’s too early to tell how much of a difference this makes on the MacBook Neo I’m testing it on — especially since dev betas are notoriously buggy and unstable. Using Spotlight search for local files on Golden Gate performed similar to another Neo I had on-hand running macOS 26 Tahoe. And opening apps on both systems side-by-side led to mixed results: Golden Gate opened Lightroom Classic and Slack faster, but Tahoe was faster to open Photoshop and Steam. I hope Apple’s under the hood improvements to memory and CPU usage will really show on the MacBook Neo, which could use all the efficiency it can get, but the jury’s out for now.

There’s still more to come with further beta releases of macOS 27, where we’ll at some point be able to fully test Siri AI, Visual Intelligence, and the revamped Spotlight Search. Last year’s power user-focused Spotlight with clipboard history was a nice improvement, but I’m skeptical that Siri AI being baked into Spotlight will be quite the gamechanger Apple’s billing it as. I’ll keep an open mind and be looking to find out once I’m off the waitlist.

For now, I’m relieved Apple is slightly backpedaling on Liquid Glass. While the look was never quite as bad on the Mac as it was on iOS, it’s a welcome change to be able to turn down these transparencies and get a little closer to the old looks from Sequoia. That and the other bits of UI polish are a nice upgrade on their own. Now, Apple has to show that it can nail all the new AI features, too — I’m eager to see how it fares.

Your phone rings. It’s your son’s voice. Panicked. He says he’s been in a car accident. He hurt someone. He’s about to be arrested. He needs $15,000 wired before the end of the day, and please, don’t tell anyone yet. You’d wire the money. Of course you would. Except it isn’t your son.

It’s a scammer who spent about 10 minutes online, pulled three seconds of audio from a Facebook video your son posted last Christmas, and fed it into an AI voice cloning tool that costs less than a Netflix subscription. The voice that broke your heart wasn’t real. The emergency wasn’t real. But the $15,000 transfer? That would have been.

This is already happening to families right now, in every state. And what most people don’t understand is that the voice clone is actually the easy part. What makes these attacks so devastatingly effective is everything that happens before the call.

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AI CYBERSECURITY RISKS AND DEEPFAKE SCAMS ON THE RISE

The technology has crossed a terrifying threshold.

AI can now clone a person’s voice using as little as three seconds of audio, pulled from a social media video, a voicemail greeting, or a voice message. The technology copies tone, speech patterns, and accents closely enough that many people can’t tell the difference between a real voice and a fake one.

Three seconds. That’s shorter than it took you to read that sentence. AI scams surged 1,210% in 2025, and global AI scam losses could reach $40 billion by 2027. This isn’t a slow-building trend. It’s an explosion.

A new study found that 1 in 4 adults have already experienced an AI voice scam. One in four. That’s your neighbor. Your coworker. Someone in your family. But here’s the thing nobody’s telling you.

The voice clone is the last step, not the first

Every article you’ve read about AI voice cloning focuses on the technology. The scarily realistic audio. The three seconds of audio that’s “all they need.” What those articles miss is the setup that happens before the call. A voice clone is useless without answers to two questions: Whose voice do I clone? And who do I call with it?

To answer both of those questions, scammers don’t need to hack anything. They go to the same places anyone can access right now: data broker websites. Armed with your phone number and personal details from a data broker profile, scammers can call you directly and reference your name, address, or recent transactions to appear legitimate. Here’s the step-by-step process, because you need to know exactly how this works.

Step 1: They find you (or your family member) on a people-search site

A scammer types your name into Spokeo, BeenVerified, or Whitepages. Within seconds, they have:

• Your age and current address
• Your phone number
• The names of your relatives, including your adult children and elderly parents
• Where you all used to live
• Estimated household income.

They didn’t hack anything. They paid a few dollars. Or nothing at all.

Step 2: They identify the right target and the right voice to clone

Once they have your family network mapped, they make a decision: Who’s the most vulnerable person to call? And whose voice will make them act?

5 STEPS TO PROTECT YOUR FINANCES FROM FAMILY SCAMS

Often, the target is an elderly parent. The cloned voice is a grandchild or adult child. That combination of a panicked young voice and an older parent who loves them is the most reliably devastating pairing a scammer can manufacture.

Then they go looking for audio. A Facebook video from Thanksgiving. A YouTube clip of a school play. A TikTok your kid posted last summer. Three seconds is enough. The AI tool replicates pitch, cadence, accent, and emotional inflection.

Step 3: They script the emergency

This is where the call starts to feel personal. Data broker profiles can reveal more than your phone number. Scammers may find relatives’ names, rough ages, your city, your property address and other public record details. Then they use those clues to make the fake emergency sound believable.

Scammers introduce physical excuses, like a broken nose or a bad connection, to cover any slight artifacts in the AI voice, then create maximum urgency. The victim is directed to wire money, send cryptocurrency, or hand cash to a “bail bondsman” courier who arrives at the door.

The call sounds real because it was built on real information. Your mother picks up. She hears her grandchild’s voice, the right name, the right emotional register, the right panic. Her rational brain doesn’t stand a chance.

Cybersecurity researchers have noted that the emotional realism of a cloned voice removes the mental barrier to skepticism. When it sounds like your loved one, your rational defenses tend to shut down.

Real families. Real losses

In one documented case in Florida, a woman lost $15,000 after receiving a call from her “crying daughter.” She withdrew cash and placed it in a box, which a driver came to collect from her house. Another call, and a larger money request, soon followed.

The Trapp family in the San Francisco Bay Area received a frantic call from their “son” saying he’d been in a car accident, injured a pregnant woman, and needed urgent help. The scammers posed not only as the son but also as police, instructing the mother to quickly withdraw $15,000 and hand it to a courier already on the way. The family became suspicious just in time and called their son directly. They were the lucky ones.

Hiya’s Q4 2024 Global Call Threat Report found that one-third of survey respondents across the US, UK, Canada, Germany, France, and Spain encountered deepfake voice fraud in 2024 and 30% of those who encountered it fell victim.

“But I don’t post videos of myself online”

Neither did some of the victims’ families. You don’t need to be the one posting. Your grandchild’s TikTok account, your daughter’s Facebook, your son’s YouTube channel, or any public audio of them is all the scammer needs.

And even if your entire family has locked down social media? The data broker profile built on you, listing your phone number, your relatives’ names, and your address, is still there, still searchable, and still pointing scammers directly at the most vulnerable people in your network.

Here’s an uncomfortable truth: data brokers update their databases constantly. Your information can be pulled from voter registration records, property filings, court documents, marketing surveys, and loyalty programs, none of which require your permission. You likely have a profile on dozens of sites right now that you’ve never seen. You can run a free scan to see exactly how exposed you are. Results usually arrive within an hour.

SPRING CLEAN YOUR DIGITAL FOOTPRINT: WHY RETIREES ARE SCAM TARGETS

Why removing yourself from data brokers disrupts the entire attack chain

The voice clone is only one part of the scam. The targeting makes it work. When you remove your family’s information from data broker sites, you cut off the scammer’s research. They may lose access to your mother’s phone number, your relatives’ names or clues about who lives alone. Without that personal map, it becomes much harder to choose the right target and the right voice to clone.

Data broker profiles might link your mobile number to your home address and your relatives’ names. That makes family scams, now frequently enhanced by AI voice cloning, much easier for criminals to execute.

This is why I recommend using a data removal service. It can automatically send removal requests to hundreds of data broker and people search websites on your behalf. It can also keep monitoring and resubmitting requests when your data reappears. Because it will reappear. That’s how these sites work.

Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com

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Five things to do right now

Beyond removing your data, do these things this week:

THE ONE THING THAT COULD PROTECT YOUR PARENTS FROM SCAMMERS

1) Create a family code word

Pick something random, “purple cactus,” “blue kettle,” anything unconnected to your actual life. Every family member agrees: any emergency call requesting money must include this word before anyone acts. Scammers cannot guess it. No data broker sells it.

2) Establish a callback rule

No matter how real a voice sounds, hang up and call the person back at their known number, not the number that called you. Real emergencies can wait two minutes for a callback. Scammers count on the panic preventing exactly this.

3) Lock down family members’ social media

Set profiles to friends only. Limit public videos. The less audio of your family that’s publicly available, the harder voice cloning becomes. Talk to your kids and grandkids about this specifically.

4) Warn your most vulnerable relatives directly

Don’t assume they’ll figure this out. Have a specific, explicit conversation: “If you get a call that sounds like me asking for money, stop. Ask for our code word. Call me back at my number. It might not be me.”

5) Never wire money, use gift cards, or hand cash to a courier based on a phone call alone

This is how every one of these scams ends. The payment method itself is the red flag. Legitimate emergencies don’t require Venmo, wire transfers, or a courier showing up at your door.

Kurt’s key takeaways

AI voice scams work because they sound personal. A scammer may only need a few seconds of public audio to copy a loved one’s voice and make a fake emergency feel real. However, the voice clone is only part of the attack. Scammers also use data broker and people-search sites to find phone numbers, family connections and personal details that make the call more convincing. That is why a simple family code word can help stop panic before money changes hands. So can a strict callback rule, locked-down social media and direct conversations with older relatives before a scammer calls. The best defense is to slow the moment down. Hang up, call your loved one directly and never send money, crypto, gift cards or cash to a courier based only on a phone call.

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